Evidence map›Paper›PMID 28805795›Full record

ArticleNature methods2017

M3: an integrative framework for structure determination of molecular machines.

Ezgi Karaca, João P G L M Rodrigues, Andrea Graziadei, Alexandre M J J Bonvin, Teresa Carlomagno

Abstract read
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In one paragraph

Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Recent advances in RNA structurome.Science China. Life sciences · 2022
    Review
  3. Review
  4. Review
  5. Hidden dynamic signatures drive substrate selectivity in the disordered phosphoproteome.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  6. Article
  7. High-density chemical cross-linking for modeling protein interactions.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Chemical shift-based methods in NMR structure determination.Progress in nuclear magnetic resonance spectroscopy
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ezgi KaracaEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
João P G L M RodriguesBijvoet Center for Biomolecular Research, Faculty of Science, Utrecht University, Utrecht, the Netherlands.
Andrea GraziadeiEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
Alexandre M J J BonvinBijvoet Center for Biomolecular Research, Faculty of Science, Utrecht University, Utrecht, the Netherlands.ORCID http://orcid.org/0000-0001-7369-1322
Teresa CarlomagnoEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-2437-2760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a broadly applicable, user-friendly protocol that incorporates sparse and hybrid experimental data to calculate quasi-atomic-resolution structures of molecular machines. The protocol uses the HADDOCK framework, accounts for extensive structural rearrangements both at the domain and atomic levels and accepts input from all structural and biochemical experiments whose data can be translated into interatomic distances and/or molecular shapes.

Indexed as

AlgorithmsModels, ChemicalBinding SitesComputer GraphicsMolecular Docking SimulationProtein BindingProtein ConformationProtein Interaction MappingProteinsSoftwareSystems IntegrationUser-Computer InterfaceProteins

Identifiers

PMID28805795

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.